Core Insights - The article discusses the evolution of AI agents, emphasizing the need for them to deeply integrate into work environments and understand professional contexts to become effective long-term partners [3][29]. Group 1: AI Agent Evolution - Traditional workflows that separate demand, design, and code are rapidly dissolving [1]. - The new MiniMax AI-native workspace, Agent 2.0, is designed to act as a reliable partner by directly accessing local resources and adhering to established workflows [4][8]. - The update focuses on two core components: Desktop App for execution and Expert Agents for understanding business contexts [5][24]. Group 2: Desktop App Functionality - The Desktop App connects cloud capabilities directly to local computers, enabling it to read files and perform various tasks seamlessly [6][7]. - It can autonomously retrieve local resources, eliminating the need for users to manually input information [8]. - A complex task was designed to test the Desktop App's capabilities, requiring it to gather detailed information on 20 products and generate a comprehensive report and presentation [12][22]. Group 3: Expert Agents - Expert Agents allow for the injection of private knowledge and experience into the AI system, enabling it to understand specific business logic [26]. - This approach addresses the limitations of general models in handling highly specialized tasks [25]. Group 4: Long-term Partnership with Agents - The ultimate goal is for agents to evolve into long-term partners capable of delivering results by fully embedding themselves in the work environment [29]. - Key capabilities include continuous memory, the ability to internalize implicit experiences, and a keen awareness of the business environment [31][33][35]. Group 5: Real-world Applications - The article illustrates practical applications of Agent 2.0 in various departments, showcasing its ability to generate customized emails, modify website code, and analyze system alerts [36][37][39]. - The release of Agent 2.0 standardizes a high-efficiency production model that has already been successfully implemented within MiniMax [40][41].

机器之心编辑部 如果说 2025 年是 Agent 落地元年，那么刚刚开始的 2026 年势必迎来新一轮爆发。 一开年，Agent 赛道便进入到了白热化的竞争，国外如 Anthropic 发布 Cowork，国内如千问 APP 上线「任务助理」。在这一背景下，市场出现了分化，或专注于 工作提效，或聚焦于日常生活体验重塑。 在这个红海市场，10 多天前登陆港股的国产 AI 大模型独角兽 MiniMax 选择的路线是「将释放生产力进行到底」。 1 月 20 日，MiniMax 揭开了其第二代智能体产品 ——MiniMax Agent 2.0 的面纱，为这个火热的 AI 赛道添加了又一个生力军。此次的更新被定义为了一个 「AI 原 生工作台」（AI-native Workspace） ，从产品形态和能力分布上进行了深度重构。 这个全新的工作台不再像过去那样依赖简单的 Chat 式对话框，而变身为 能感知本地环境、自主拆解复杂任务且提供专家级专业技能的进阶型智能协作伙伴 。这些 能力实现的背后立着以下三大核心支柱： 首先是 桌面端应用「MiniMax Agent Desktop」 ，它让 Agent 跳出了浏览器网页 ...